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Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022; 25th International C Linwei Wang,Qi Dou,Shuo Li Conference procee

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Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusiond end-to-end patient modeling solutions typically require a) customized network designs demanding large amount of relevant training data, covering extensive realistic clinical scenarios (.., patient covered by sheets), which leads to suboptimal generalizability in practical deployment, b) expensive
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Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Modelesection or transplantation is not feasible. To significantly reduce chances of local recurrences, accurate planning is required, which aims at finding a safe and feasible needle trajectory to an optimal electrode position achieving full coverage of the tumor as well as a safety margin. Computer-ass
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Multi-task Video Enhancement for Dental Interventionsncement in video-assisted dental interventions alleviates low-light, noise, blur, and camera handshakes that collectively degrade visual comfort. To this end, we introduce a novel deep network for multi-task video enhancement that enables macro-visualization of dental scenes. In particular, the prop
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